The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages S111-S119

  Roberts, Kirk ^a   Shooshan, Sonya E ^a   Rodriguez, Laritza ^a   Abhyankar, Swapna ^a   Kilicoglu, Halil ^a   Demner Fushman, Dina ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Machine learning; Natural language annotation; Natural language processing

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; CHARACTER RECOGNITION; COMPUTATIONAL LINGUISTICS; DISEASES; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; RISK ASSESSMENT; SEMANTICS; SUPERVISED LEARNING;

HIGH QUALITY DATA; LEXICAL INFORMATION; LINGUISTIC INFORMATION; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; NEGATIVE ANNOTATIONS; SUPERVISED MACHINE LEARNING; SUPPORT VECTOR MACHINE MODELS;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ARTICLE; CARDIOVASCULAR RISK; CLINICAL ARTICLE; GLUCOSE ASSAY; HEART DISEASE; HUMAN; INFORMATION PROCESSING; MACHINE LEARNING; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; SMOKING; SUPPORT VECTOR MACHINE; VALIDITY; AGED; AUTOMATED PATTERN RECOGNITION; COHORT ANALYSIS; COMORBIDITY; COMPUTER SECURITY; CONFIDENTIALITY; CONTROLLED VOCABULARY; CORONARY ARTERY DISEASE; DATA MINING; DIABETES COMPLICATIONS; ELECTRONIC HEALTH RECORD; FEMALE; INCIDENCE; LONGITUDINAL STUDY; MALE; MARYLAND; MIDDLE AGED; NATURAL LANGUAGE PROCESSING; ORGANIZATION AND MANAGEMENT; PROCEDURES; SUPERVISED MACHINE LEARNING; VERBAL COMMUNICATION;

AGED; COHORT STUDIES; COMORBIDITY; COMPUTER SECURITY; CONFIDENTIALITY; CORONARY ARTERY DISEASE; DATA MINING; DIABETES COMPLICATIONS; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; INCIDENCE; LONGITUDINAL STUDIES; MALE; MARYLAND; MIDDLE AGED; NARRATION; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; RISK ASSESSMENT; SUPERVISED MACHINE LEARNING; VOCABULARY, CONTROLLED;

EID: 84936803802     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.06.010     Document Type: Article

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